ASUSTeK COMPUTER INC. ROG Zephyrus G16 GU605CX_GU605CX_000826048
Geekbench AI Score
4780
Single Precision Score
4278
Half Precision Score
11385
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| Upload Date | September 16 2025 05:19 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | Intel(R) Core(TM) Ultra 9 285H |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | ASUSTeK COMPUTER INC. ROG Zephyrus G16 GU605CX_GU605CX_000826048 |
| Motherboard | ASUSTeK COMPUTER INC. GU605CX |
| Power Plan | Performance |
| CPU Information | |
|---|---|
| Name | Intel(R) Core(TM) Ultra 9 285H |
| Topology | 1 Processor, 16 Cores |
| Identifier | GenuineIntel Family 6 Model 197 Stepping 2 |
| Base Frequency | 2.90 GHz |
| Cluster 1 | 6 Cores |
| Cluster 2 | 10 Cores |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
3327
618.8 IPS |
|
|
Image Classification (HP)
|
100% |
3197
594.5 IPS |
|
|
Image Classification (Q)
|
100% |
8960
1.67 KIPS |
|
|
Image Segmentation (SP)
|
100% |
4053
65.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
2486
40.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
8601
139.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
7316
8.54 IPS |
|
|
Pose Estimation (HP)
|
100% |
6878
8.03 IPS |
|
|
Pose Estimation (Q)
|
96% |
23127
27.1 IPS |
|
|
Object Detection (SP)
|
100% |
2174
172.4 IPS |
|
|
Object Detection (HP)
|
100% |
2182
173.1 IPS |
|
|
Object Detection (Q)
|
88% |
5823
466.8 IPS |
|
|
Face Detection (SP)
|
100% |
7111
84.5 IPS |
|
|
Face Detection (HP)
|
100% |
6878
81.7 IPS |
|
|
Face Detection (Q)
|
100% |
14630
173.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
6895
53.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
5870
45.2 IPS |
|
|
Depth Estimation (Q)
|
89% |
17972
139.7 IPS |
|
|
Style Transfer (SP)
|
100% |
18253
23.5 IPS |
|
|
Style Transfer (HP)
|
100% |
10914
14.0 IPS |
|
|
Style Transfer (Q)
|
98% |
60834
78.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3141
116.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2737
101.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
13145
486.8 IPS |
|
|
Text Classification (SP)
|
100% |
3366
4.49 KIPS |
|
|
Text Classification (HP)
|
100% |
2706
3.61 KIPS |
|
|
Text Classification (Q)
|
92% |
5346
7.18 KIPS |
|
|
Machine Translation (SP)
|
100% |
3074
53.0 IPS |
|
|
Machine Translation (HP)
|
100% |
5279
90.9 IPS |
|
|
Machine Translation (Q)
|
100% |
3137
54.0 IPS |
